Tools, Rules, and Risks: Responsible Generative AI Use In Accounting Research-Tools, rules, and risks Responsible generative AI use in accounting research

Tools, rules, and risks Responsible generative AI use in accounting research

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The document discusses the responsible use of generative AI in accounting research, highlighting tools, rules, and potential risks. Moderated by Karen Sedatole, with a panel of experts from academic and digital sectors, it explores the integration of AI across various stages of research, from literature review to submission and review processes. AI tools such as Semantic Scholar for literature searches, ChatGPT for data collection, and Isaac Editor for writing support, are identified for potential use.<br /><br />The guidelines outlined by the American Accounting Association (AAA) emphasize the necessity for human oversight and control when using AI. Authors must disclose the specific AI tools used and are accountable for the content of their work, despite AI assistance. The policy for reviewers similarly ensures AI cannot be the sole basis for manuscript evaluation and stresses the confidentiality of the documents.<br /><br />Different publishers have varied rules concerning AI's use. General practices include allowing AI for readability and language improvement with necessary disclosure, while issues of equity, intellectual property, and review process confidentiality are significant concerns.<br /><br />Potential risks of AI use include unpredictable outcomes, data privacy issues, and the risk of overconfidence (Dunning-Kruger Effect). Challenges such as biases, cybersecurity threats, and AI’s environmental impact are highlighted as considerations for institutions.<br /><br />Additionally, the document stresses the importance of implementing ethical and transparent AI use and the implications for Ph.D. students and the broader academic community. It concludes with a discourse on the balance between regulation and creativity within organizations to foster innovative environments for responsible AI utilization in research.

Keywords

generative AI

accounting research

AI tools

human oversight

American Accounting Association

disclosure

data privacy

ethical AI use

academic community

innovation